Technique of Real-Time Detection of Technical Surface Defects

IF 0.5 4区 工程技术 Q4 ENGINEERING, MECHANICAL
L. V. Markova
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Abstract

A technique and an algorithm of digital surface image processing are proposed to increase the validity of real-time detection of small size defects. The algorithm is implemented in the MATLAB programming environment. The technique is based on segmentation of the high-frequency component of surface texture because small size defects are especially pronounced in this component. The high-frequency component, in particular roughness, is extracted by means of wavelet transform for frequency components separation and homomorphic filtration for compensation of low-frequency distortion caused by nonuniform illumination of test surface. Segmentation of the high-frequency texture component consists in formation of a binary image using the texture descriptors derived from the gray-level co-occurrence matrix as the segmentation threshold. The proposed technique and algorithm are approved in applications to defect detection for a simulated surface, for real ground surface of hardened steel, and for surfaces of carbon fiber reinforced plastic composite. Extraction efficiency of the high-frequency component of surface texture is shown. It is found that texture descriptors, “contrast’ and “energy,” can be applied as segmentation thresholds for defect extraction/determination on the ground (anisotropic) surface while segmentation of an image of a plastic composite (isotropic) surface is effective just with “energy” as a threshold. The proposed technique can be applied for simultaneously real-time monitoring the surface texture and detecting the small size defect in machine vision systems during production and operation of tribosystems.

Abstract Image

Abstract Image

技术表面缺陷实时检测技术
摘要 提出了一种数字表面图像处理技术和算法,以提高小尺寸缺陷实时检测的有效性。该算法在 MATLAB 编程环境中实现。该技术基于表面纹理高频成分的分割,因为小尺寸缺陷在这一成分中尤为明显。高频成分,尤其是粗糙度,是通过小波变换进行频率成分分离和同态过滤来提取的,以补偿测试表面非均匀光照造成的低频失真。高频纹理成分的分割包括使用从灰度共现矩阵中提取的纹理描述符作为分割阈值形成二值图像。所提出的技术和算法在模拟表面、淬火钢的真实地面和碳纤维增强塑料复合材料表面的缺陷检测应用中得到了认可。结果表明了表面纹理高频成分的提取效率。研究发现,纹理描述符 "对比度 "和 "能量 "可用作地面(各向异性)表面缺陷提取/确定的分割阈值,而塑料复合材料(各向同性)表面图像的分割仅以 "能量 "作为阈值就很有效。在摩擦系统的生产和运行过程中,所提出的技术可同时用于实时监控表面纹理和检测机器视觉系统中的小尺寸缺陷。
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来源期刊
Journal of Friction and Wear
Journal of Friction and Wear ENGINEERING, MECHANICAL-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
1.50
自引率
28.60%
发文量
21
审稿时长
6-12 weeks
期刊介绍: Journal of Friction and Wear is intended to bring together researchers and practitioners working in tribology. It provides novel information on science, practice, and technology of lubrication, wear prevention, and friction control. Papers cover tribological problems of physics, chemistry, materials science, and mechanical engineering, discussing issues from a fundamental or technological point of view.
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